4.5 Review

From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics

期刊

PHYSICS OF LIFE REVIEWS
卷 38, 期 -, 页码 55-106

出版社

ELSEVIER
DOI: 10.1016/j.plrev.2021.03.004

关键词

Molecular evolution; Genotype-phenotype map; Genotype network; Fitness landscape; Phenotypic bias; Experimental evolution

资金

  1. MINECO/FEDER, EU [BFU2015-67302-R, FIS2015-64349-P, FIS2017-89773-P]
  2. Severo Ochoa Centers of Excellence [SEV 20170712]
  3. MICINN/FEDER, EU [PGC2018-098186-B-I00]
  4. Foundational Questions Institute (FQXi) [FQXi-RFP-IPW-1913]
  5. Fetzer Franklin Fund, a donor advised fund of Silicon Valley Community Foundation [FQXi-RFP-IPW-1913]
  6. Stanford Center for Computational, Evolutionary and Human Genomics, Stanford University through National Science Foundation [DMS 0931642]
  7. Mathematical Biosciences Institute at The Ohio State University through National Science Foundation [DMS 0931642]
  8. MCIU-FEDER [BFU2015-65037-P]
  9. DFG [CRC1310]
  10. Gates Cambridge Scholarship
  11. Swiss National Science Foundation [PP00P3_170604]
  12. EPSRC/BBSRC Centre for Doctoral Training in Synthetic Biology [EP/L016494/1]
  13. BBSRC/EPSRC Synthetic Biology Research Centre, BrisSynBio [BB/L01386X/1]
  14. Morrison Institute for Population and Resources Studies, Stanford University through National Science Foundation [DMS 0931642]
  15. 2015 Information Processing in Cells and Tissues Conference through National Science Foundation [DMS 0931642]
  16. Generalitat Valenciana [ROMETEOII/2014/012]
  17. Winton Programme for the Physics of Sustainability

向作者/读者索取更多资源

This article discusses the knowledge of how genotypes map onto molecular phenotypes and organismal functions, and explores theoretical and empirical approaches to broaden and improve this understanding, aiming to derive an updated picture of evolutionary processes.
Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is arguably the next major missing piece in a fully predictive theory of evolution. We refer to this generally as the problem of the genotype-phenotype map. Though we are still far from achieving a complete picture of these relationships, our current understanding of simpler questions, such as the structure induced in the space of genotypes by sequences mapped to molecular structures, has revealed important facts that deeply affect the dynamical description of evolutionary processes. Empirical evidence supporting the fundamental relevance of features such as phenotypic bias is mounting as well, while the synthesis of conceptual and experimental progress leads to questioning current assumptions on the nature of evolutionary dynamics-cancer progression models or synthetic biology approaches being notable examples. This work delves with a critical and constructive attitude into our current knowledge of how genotypes map onto molecular phenotypes and organismal functions, and discusses theoretical and empirical avenues to broaden and improve this comprehension. As a final goal, this community should aim at deriving an updated picture of evolutionary processes soundly relying on the structural properties of genotype spaces, as revealed by modern techniques of molecular and functional analysis. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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